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Latest from Kuaishou Audio & Video Technology

24 recent articles

Kuaishou Audio & Video Technology

Aug 16, 2022 · Artificial Intelligence

Deep Learning Turns SDR Video into HDR: ACM Multimedia 2022 Breakthrough

Researchers from Kuaishou and Xi’an University of Electronic Science and Technology presented a novel deep‑learning‑based SDR‑to‑HDR video conversion method at ACM Multimedia 2022, introducing hierarchical dynamic context feature mapping, a layered dynamic feature modulation module, and a patch‑discriminator GAN that together achieve superior objective and subjective HDR quality.

HDR videoMultimediavideo conversion

0 likes · 6 min read

Deep Learning Turns SDR Video into HDR: ACM Multimedia 2022 Breakthrough

Kuaishou Audio & Video Technology

Apr 22, 2022 · Artificial Intelligence

How Temporal Residual Modeling Boosts Video Super‑Resolution Performance

This article introduces a novel video super‑resolution framework that unifies low‑ and high‑resolution temporal modeling using adjacent‑frame residual maps, achieving state‑of‑the‑art results on multiple benchmarks while maintaining high speed and flexibility.

residual mapstemporal modelingvideo super-resolution

0 likes · 14 min read

How Temporal Residual Modeling Boosts Video Super‑Resolution Performance

Kuaishou Audio & Video Technology

Mar 10, 2022 · Artificial Intelligence

How Kuaishou Achieved High‑Precision, Low‑Latency Danmu Blocking with AI

To prevent dense on‑screen comments from obscuring key video content, Kuaishou’s audio‑video team built a high‑precision, low‑latency intelligent danmu‑blocking system that uses advanced image‑segmentation masks, temporal stability enhancements, SSIM‑based scene detection, and a large‑scale annotated dataset to ensure robust, real‑time protection across diverse video scenarios.

AIData Annotationdanmu blocking

0 likes · 11 min read

How Kuaishou Achieved High‑Precision, Low‑Latency Danmu Blocking with AI

Kuaishou Audio & Video Technology

Jan 27, 2022 · Artificial Intelligence

How the L3DAS22 Challenge Advances Deep Learning for 3D Audio Signal Processing

The inaugural L3DAS22 competition, co‑hosted by Kuaishou Audio and Sapienza University, gathered nearly 50 academic and industry teams to benchmark deep‑learning‑based 3D audio signal processing, featuring tasks on multi‑channel speech enhancement and source detection, with results presented at ICASSP 2022.

3D audioICASSPaudio challenge

0 likes · 5 min read

How the L3DAS22 Challenge Advances Deep Learning for 3D Audio Signal Processing

Kuaishou Audio & Video Technology

Jan 17, 2022 · Artificial Intelligence

How Kuaishou’s KFRUC Algorithm Achieves Seamless Slow‑Motion Video

This article explains video frame interpolation, compares algorithm categories, and deep‑dives into Kuaishou’s KFRUC method—covering its hybrid motion estimation, occlusion detection, and motion compensation techniques that enable smooth slow‑motion playback without stutter.

AIKFRUCframe rate conversion

0 likes · 10 min read

How Kuaishou’s KFRUC Algorithm Achieves Seamless Slow‑Motion Video

Kuaishou Audio & Video Technology

Nov 25, 2021 · Backend Development

How Kuaishou Delivered Ultra‑HD Video for Jackie Chan’s Short‑Video Debut

Kuashou’s audio‑video team built a custom short‑video transcoding tier that combines AI‑driven enhancement, aggressive compression and a specialized delivery strategy to meet billions of viewers’ high‑quality expectations for Jackie Chan’s debut, showcasing rapid cross‑team collaboration and advanced video processing techniques.

Backend EngineeringKuaishouVideo Transcoding

0 likes · 8 min read

How Kuaishou Delivered Ultra‑HD Video for Jackie Chan’s Short‑Video Debut

Kuaishou Audio & Video Technology

Oct 25, 2021 · Operations

How DAP Beats Traditional Congestion Control in Real-Time Video Streaming

The DAP system, developed by Kuaishou’s audio‑video network transmission team, won the ACM MM 2021 Grand Challenge by introducing deadline‑aware scheduling and a novel paired‑sending congestion control algorithm that dramatically improves QoE for real‑time video streams, outperforming Copa, BBR and DRL by up to 43.5%.

Congestion ControlReal-time communicationdeadline-aware scheduling

0 likes · 8 min read

How DAP Beats Traditional Congestion Control in Real-Time Video Streaming

Kuaishou Audio & Video Technology

Sep 10, 2021 · Artificial Intelligence

How Kuaishou Boosts Short‑Video Quality with AI‑Driven Encoding and Enhancement

This article explores Kuaishou’s server‑side video pipeline, detailing why videos are re‑encoded, how AI‑based enhancement (De‑Art, SR, Deblur) and perceptual encoding techniques (CAQ, CARDO) improve subjective quality, reduce bitrate, and lower processing costs, while presenting algorithmic logic and real‑world results.

AI enhancementKuaishouencoding optimization

0 likes · 8 min read

How Kuaishou Boosts Short‑Video Quality with AI‑Driven Encoding and Enhancement

Kuaishou Audio & Video Technology

Sep 1, 2021 · Fundamentals

How Kuaishou Achieves Superior Short‑Video Quality: A Deep Dive into 1080P, HDR & 4K Evaluations

This article analyzes Kuaishou's short‑video quality advantages by detailing its production‑consumption chain, multi‑dimensional evaluation methodology, objective and subjective test results, and key metrics such as bitrate savings, VMAF gains, win and selection rates, supported by visual examples.

HDRVMAFbenchmark

0 likes · 7 min read

How Kuaishou Achieves Superior Short‑Video Quality: A Deep Dive into 1080P, HDR & 4K Evaluations

Kuaishou Audio & Video Technology

Jun 18, 2021 · Artificial Intelligence

MiVOS: Achieving Precise Video Segmentation with Minimal User Interaction

MiVOS introduces a highly decoupled, three‑module framework—Interaction‑to‑Mask, Mask Propagation, and Difference‑aware Fusion—for interactive video object segmentation, delivering precise masks with fewer user interactions, validated on the DAVIS benchmark and supported by a new large‑scale synthetic VOS dataset (BL30K).

interactive segmentationmodular networkvideo segmentation

0 likes · 10 min read

MiVOS: Achieving Precise Video Segmentation with Minimal User Interaction